Bibliographic record
Abstract
Sara Lennox. Cemetery of the Murdered Daughters: Feminism, History, and Ingeborg Bachmann by Kristin T. Vander Lugt Birgit Tautz. Reading and Seeing Ethnic Differences in the Enlightenment: From China to Africa by Susanne Kelley Patrick Greaney. Untimely Beggar. Poverty and Power from Baudelaire to Benjamin by Christine Rinne Philip Payne, Graham Bartram, and Galin Tihanov, eds. A Companion to the Works of Robert Musil by Geoffrey C. Howes Jennifer Willging. Telling Anxiety: Anxious Narration in the Work of Marguerite Duras, Annie Ernaux, Nathalie Sarraute and Anne Hébert by Natalie Edwards Michael Lucey. Never Say I: Sexuality and the First Person in Colette, Gide, and Proust by Elissa Gelfand Anthony Waine. Changing Cultural Tastes. Writers and the Popular in Modern Germany by Katrin Völkner Susan Ireland and Patrice Proulx, eds. Textualizing the Immigrant Experience in Contemporary Quebec by Amy Hubbell Cristina Peri Rossi. State of Exile. Trans. Marilyn Buck. by Reina Ruiz
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.013 | 0.017 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.305 | 0.249 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".